geo_s2cell_neighbors()
Se aplica a: ✅Microsoft Fabric✅Azure Data Explorer✅Azure Monitor✅Microsoft Sentinel
Calcula vecinos de celda S2.
Obtenga más información sobre la jerarquía de celdas S2.
Sintaxis
geo_s2cell_neighbors(
s2cell)
Obtenga más información sobre las convenciones de sintaxis.
Parámetros
Nombre | Type | Obligatorio | Descripción |
---|---|---|---|
s2cell | string |
✔️ | Valor del token de celda S2 tal como se calculó geo_point_to_s2cell ().. La longitud máxima de cadena del token de celda S2 es de 16 caracteres. |
Devoluciones
Matriz de vecinos de celda S2. Si la celda S2 no es válida, la consulta genera un resultado NULO.
Nota:
Los bordes de celda S2 son geodesics esféricos.
Ejemplos
En el ejemplo siguiente se calculan los vecinos de celda S2.
print neighbors = geo_s2cell_neighbors('89c259')
Salida
Vecinos |
---|
["89c25d","89c2f9","89c251","89c257","89c25f","89c25b","89c2f7","89c2f5"] |
En el ejemplo siguiente se calcula una matriz de celdaS2 de entrada con sus vecinos.
let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))
Salida
células |
---|
["89c259","89c25d","89c2f9","89c251","89c257","89c25f","89c25b","89c2f7","89c2f5"] |
En el ejemplo siguiente se calcula la colección de geometrías GeoJSON de polígonos de celdas S2.
let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))
| mv-expand cells to typeof(string)
| project polygons = geo_s2cell_to_polygon(cells)
| summarize arr = make_list(polygons)
| project geojson = bag_pack("type", "Feature","geometry", bag_pack("type", "GeometryCollection", "geometries", arr), "properties", bag_pack("name", "polygons"))
Salida
geojson |
---|
{"type": "Feature","geometry": {"type": "GeometryCollection","geometries": [ {"type": "Polygon","coordinates": [[[ -74.0300122498838478, 40.8012684339439],[ -74.030012249838478, 40.7222262918358],[ -73.935982114337421, 40.708880489804564],[ -73.935982114337421, 40.787917134506841],[ -74.030012249838478, 40.8012684339439]]]}, {"type": "Polygon","coordinates": [[[ -73.935982114337421, 40.708880489804564],[ -73.9359821437421, 40.629736433321796],[ -73.841906340776248, 40.616308079144915],[ -73.841906340776248, 40.695446474556284],[ -73.93598211437421, 40.708880489804564]]]]}, {"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.893471289549765],[ -74.1239959854733, 40.814531536204242],[ -74.030012249838478, 40.8012684339439],[ -74.030012249838478, 40.880202851376716],[ -74.1239959854733, 40.893471289549765]]]]}, {"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.735483949993387],[ -74.1239959854733, 40.656328734184143],[ -74.030012249838478, 40.643076628676461],[ -74.030012249838478, 40.7222262918358],[ -74.1239959854733, 40.735483949993387]]]}, {"type": "Polygon","coordinates": [[[ -74.1239959854733, 40.814531536204242],[ -74.1239959854733, 40.735483949993387],[ -74.030012249838478, 40.7222262918358],[ -74.030012249838478, 40.8012684339439],[ -74.1239959854733, 40.814531536204242]]]}, {"type": "Polygon","coordinates": [[[ -73.935982114337421, 40.787917134506841],[ -73.9359821437421, 40.708880489804564],[ -73.841906340776248, 40.69544646474556284],[ -73.841906340776248, 40.774477568182071],[ -73.93598211437421, 40.787917134506841]]]}, {"type": "Polygon","coordinates": [[[ -74.0300122498838478, 40.7222262918358],[ -74.030012249838478, 40.643076628676461],[ -73.93598211437421, 40.62973643321796],[ -73.935982114337421, 40.708880489804564],[ -74.030012249838478, 40.7222262918358]]]}, {"type": "Polygon","coordinates": [[[ -74.0300122498838478, 40.880202851376716],[ -74.030012249838478, 40.8012684339439],[ -73.93598211437421, 40.787917134506841],[ -73.93598211437421, 40.866846163445771],[ -74.030012249838478, 40.880202851376716]]]}, {"type": "Polygon","coordinates": [[[ -73.93598211437421, 40.866846163445771],[ -73.93598214337421, 40.787917134506841],[ -73.841906340776248, 40.774477568182071],[ -73.841906340776248, 40.853401155678846],[ -73.93598211437421, 40.866846163445771]]]}]}, "properties": {"name": "polygons"}} |
En el ejemplo siguiente se calculan uniones de polígono que representan la celda S2 y sus vecinos.
let s2cell = '89c259';
print cells = array_concat(pack_array(s2cell), geo_s2cell_neighbors(s2cell))
| mv-expand cells to typeof(string)
| project polygons = geo_s2cell_to_polygon(cells)
| summarize arr = make_list(polygons)
| project polygon = geo_union_polygons_array(arr)
Salida
polígono |
---|
{"type": "Polygon","coordinates": [[[-73.841906340776248,40.695446474556284],[-73.841906340776248,40.774477568182071],[-73.841906340776248,40.853401155678846],[-73.935982114337421,40.866846163445771],[-74.030012249838478,40.880202851376716],[-74.1239959854733,40.893471289549758],[-74.1239959854733,40.814531536204242],[-74.1239959854733,40.735483949993387],[-74.1239959854733,40.656328734184143],[-74.030012249838478,40.643076628676461],[- 73.935982114337421,40.629736433321796],[-73.841906340776248,40.616308079144915],[-73.841906340776248,40.695446474556284]]]} |
En el ejemplo siguiente se devuelve true debido a la entrada de token de celda S2 no válida.
print invalid = isnull(geo_s2cell_neighbors('a'))
Salida
no válido |
---|
1 |